Mark Robinson

@markrobinsonca

statistical bioinformatics; swissified canadian; ; open scholarship; may be grumpy towards prestige worshippers, excessive admin and bros.

Zurich, CH
Vrijeme pridruživanja: listopad 2011.

Tweetovi

Blokirali ste korisnika/cu @markrobinsonca

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @markrobinsonca

  1. 4. velj

    I hope this (or something near to it) becomes the future of (transparent) peer review ..

    Poništi
  2. proslijedio/la je Tweet
    3. velj

    Are you looking for recommendations of tools in scRNA-seq ? Then our preprint is for you! First collaboration within 's group. Props to PL Germain for the idea and the implementation of 'pipeComp'.

    Poništi
  3. 1. velj

    Well put (from 2009): "as an ultimate plea, the personal wish of the author remains to send all bibliometrics and its diligent servants to the darkest omnivoric black hole that is known in the entire universe, in order to liberate academia forever from this pestilence."

    Poništi
  4. 30. sij

    "Whenever a study claims to have made a new discovery, it is the job of science to ask how we can verify and confirm these results." methods reproducibility .. result reproducibility/replicability .. inferential reproducibility .. from 's and

    Poništi
  5. proslijedio/la je Tweet
    29. sij

    So so excited. registration is open. It sold out last year, well before the close of early registration.. so register early

    Poništi
  6. proslijedio/la je Tweet
    29. sij

    'Trouble replicating cancer studies a ‘wake-up call’ for science' - results from the Reproducibility Project: Cancer Biology are quite sobering

    Poništi
  7. proslijedio/la je Tweet
    28. sij

    Soap Box: Here's my 10-point plan for reproducibility in science.

    Prikaži ovu nit
    Poništi
  8. 28. sij

    Up to 34 now. also, if anyone wants to write a sentence or two about a benchmark (i already cut-paste those from the awesome list), please send me a comment on the Google Sheet.

    Prikaži ovu nit
    Poništi
  9. 27. sij

    OK, my current list is 31 scRNA-seq (analysis method) benchmarks: I consolidated 's 's 's and went through the benchmark issue. Any others I missed?

    Prikaži ovu nit
    Poništi
  10. proslijedio/la je Tweet
    27. sij

    Bioc2020 Registration Now Open! The committee is also accepting calls for abstracts for posters/workshops/talks. More information can be found

    Poništi
  11. 26. sij

    Readworthy blog post. "Preprinting separates publication from evaluation." "Journals that are transparent with their peer review processes will be more highly regarded because their credibility stamps are verifiable."

    Poništi
  12. proslijedio/la je Tweet
    24. sij
    Poništi
  13. proslijedio/la je Tweet
    24. sij

    Researchers need to be trusted by the public, by funders, and by each other. This is why should be hard-wired into academic culture, according to a new advice paper. Read the interview with lead authors and Ton Hol.

    , , i još njih 2
    Poništi
  14. proslijedio/la je Tweet
    21. sij

    Are you interested in and are thinking about starting an initiative at your university/institute? and I have some tips for you based on our experience with the initiative. Check out our blog post:

    Prikaži ovu nit
    Poništi
  15. 22. sij

    .. but it's not complete. And naturally, I know about benchmarking issue, where many scRNA-seq benchmarks are. If a list doesn't already exist, I'll compile one and at the end, send a PR back to 's "Methods comparisons" list.

    Prikaži ovu nit
    Poništi
  16. 22. sij

    Dear , I'm looking for a list of benchmarks for single cell RNA-seq data analysis. Generally, so normalization, DE, clustering, cell assignment, etc. I'm OFC aware of the "Methods comparisons" section in 's awesome list () ..

    Prikaži ovu nit
    Poništi
  17. proslijedio/la je Tweet
    21. sij

    How can foster open practices in science? ✔️Enhance interoperability ✔️Share smaller units of knowledge ✔️Remove barriers to participating in scientific discourse ✔️Incentivise openness Read what we learned from our preprints workshop

    Poništi
  18. proslijedio/la je Tweet
    20. sij

    Helena Lucia Crowell from will present her work on differential discovery in high-dimensional cytometry data.

    Poništi
  19. proslijedio/la je Tweet
    20. sij
    Poništi
  20. proslijedio/la je Tweet
    15. sij
    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·